A reinforcement learning-based metaheuristic algorithm for solving global optimization problems

•Metaheuristic algorithms find optimal solutions to global optimization problems in random search spaces.•It has been shown that reinforcement learning methods are more successful in finding new global areas than metaheuristic approaches, and have a more balanced behavior than metaheuristic methods....

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Vydané v:	Advances in engineering software (1992) Ročník 178; s. 103411
Hlavný autor:	Seyyedabbasi, Amir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2023
Predmet:	Machine learning Metaheuristic algorithm Q-learning Reinforcement learning algorithm Sand cat swarm optimization Q-learning Sand cat swarm optimization Metaheuristic algorithm Reinforcement learning algorithm Machine learning
ISSN:	0965-9978
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